Abstract:Abstract:Facing heavy air pollution, China needs to transition to a clean and sustainable energy system, especially in the power and transport sectors, which contribute the highest greenhouse gas (GHG) emissions. The core of an energy transition is energy substitution and energy technology improvement. In this paper, we forecast the levelized cost of electricity (LCOE) for power generation in 2030 in China. Cost-emission effectiveness of the substitution between new energy vehicles and conventional vehicles is… Show more
“…Since the promulgation of the "Energy Saving and New Energy Vehicle Industry Development Plan (2012-2020)" by the General Office of the State Council, the Chinese government has determined a strategy of pure electric driving technology. The electric vehicle market in China has expanded rapidly, making China the largest electric vehicle market in the world [7,8]. Hence, research on the situation of electric vehicles in China is highly necessary and of reference value for other countries to develop electric vehicles.…”
Section: Research Background and Motivationmentioning
Although the rapid progress of the global economy and technology has advanced human civilization, it has also caused tremendous damage to the global ecological environment. Therefore, humans are thinking seriously about the environment and its sustainable development. One of the solutions to environmental problems is new energy vehicles. Since the promulgation of the "Energy Saving and New Energy Vehicle Industry Development Plan (2012-2020)" by the General Office of the State Council, the Chinese government has determined a strategy of pure electric driving technology. The electric vehicle market in China has expanded rapidly, making China the largest electric vehicle market in the world. Hence, research on the situation of electric vehicles in China is highly necessary and of reference value for other countries to develop electric vehicles. As a result, it is a critical issue to develop low-carbon, energy-saving, and intelligent electric vehicles to reduce the environmental impact. This paper establishes a theoretical framework based on the theory of planned behavior (TPB), technology acceptance model (TAM) and innovation diffusion theory (IDT), and explores the key factors influencing consumers' purchase of electric vehicles. The results show that: The application of the key factor model constructed in this study to consumers' behavioral intention regarding electric vehicle purchase is acceptable. According to the structural equation modeling (SEM) analysis results, (1) In terms of behavioral intention: Consumers' control over the resources required to purchase electric vehicles has the highest influence on their behavioral intention, while consultation opinions from consumers' surroundings also significantly affect their behavioral intention to purchase electric vehicles. In addition, consumers' environmental awareness and acceptance of technology products will also influence their behavioral intention. (2) In terms of attitude toward behavior: When consumers believe that electric vehicles are more beneficial at the individual, environment or national level, or they believe that the usage of electric vehicles is simpler and more convenient, they will show a more positive attitude towards the purchase of electric vehicles. Consumers consider electric vehicles as forward-looking technology products with similar driving operation and usage cost compared to traditional vehicles. (3) In terms of regulations: The opinions of consumers' family members, friends, colleagues or supervisors do not significantly affect the attitude or behavior of consumers regarding electric vehicle purchase. The key factors influencing consumers' purchase of electric vehicles are not only applicable to the design and development of electric vehicles that better suit consumer demands, but also serve as a theoretical basis for the popularization of electric vehicles, and provide a reference for consumers' choice and purchase. Therefore, the government and relevant manufacturers need to consider increasing the publicity of electric vehicle...
“…Since the promulgation of the "Energy Saving and New Energy Vehicle Industry Development Plan (2012-2020)" by the General Office of the State Council, the Chinese government has determined a strategy of pure electric driving technology. The electric vehicle market in China has expanded rapidly, making China the largest electric vehicle market in the world [7,8]. Hence, research on the situation of electric vehicles in China is highly necessary and of reference value for other countries to develop electric vehicles.…”
Section: Research Background and Motivationmentioning
Although the rapid progress of the global economy and technology has advanced human civilization, it has also caused tremendous damage to the global ecological environment. Therefore, humans are thinking seriously about the environment and its sustainable development. One of the solutions to environmental problems is new energy vehicles. Since the promulgation of the "Energy Saving and New Energy Vehicle Industry Development Plan (2012-2020)" by the General Office of the State Council, the Chinese government has determined a strategy of pure electric driving technology. The electric vehicle market in China has expanded rapidly, making China the largest electric vehicle market in the world. Hence, research on the situation of electric vehicles in China is highly necessary and of reference value for other countries to develop electric vehicles. As a result, it is a critical issue to develop low-carbon, energy-saving, and intelligent electric vehicles to reduce the environmental impact. This paper establishes a theoretical framework based on the theory of planned behavior (TPB), technology acceptance model (TAM) and innovation diffusion theory (IDT), and explores the key factors influencing consumers' purchase of electric vehicles. The results show that: The application of the key factor model constructed in this study to consumers' behavioral intention regarding electric vehicle purchase is acceptable. According to the structural equation modeling (SEM) analysis results, (1) In terms of behavioral intention: Consumers' control over the resources required to purchase electric vehicles has the highest influence on their behavioral intention, while consultation opinions from consumers' surroundings also significantly affect their behavioral intention to purchase electric vehicles. In addition, consumers' environmental awareness and acceptance of technology products will also influence their behavioral intention. (2) In terms of attitude toward behavior: When consumers believe that electric vehicles are more beneficial at the individual, environment or national level, or they believe that the usage of electric vehicles is simpler and more convenient, they will show a more positive attitude towards the purchase of electric vehicles. Consumers consider electric vehicles as forward-looking technology products with similar driving operation and usage cost compared to traditional vehicles. (3) In terms of regulations: The opinions of consumers' family members, friends, colleagues or supervisors do not significantly affect the attitude or behavior of consumers regarding electric vehicle purchase. The key factors influencing consumers' purchase of electric vehicles are not only applicable to the design and development of electric vehicles that better suit consumer demands, but also serve as a theoretical basis for the popularization of electric vehicles, and provide a reference for consumers' choice and purchase. Therefore, the government and relevant manufacturers need to consider increasing the publicity of electric vehicle...
“…By comparing (2) with (4), the polarization voltage is firstly needed to eliminate from (2). The discretization form of (2) by bilinear transformation method: = (2/ )((1 − −1 )/(1 + −1 )) ( is the discretization operator) is given as follows:…”
Section: Parameters Identificationmentioning
confidence: 99%
“…In the field of electric vehicles (EVs), the Lithium-ion batteries have been widely researched and quickly developed in battery management system (BMS) at present [1,2]. Onboard BMS is used to guarantee the safety of the work and reliable battery application in high energy EVs.…”
The state of charge (SOC) estimation is one of the most important features in battery management system (BMS) for electric vehicles (EVs). In this article, a novel equivalent-circuit model (ECM) with an extra noise sequence is proposed to reduce the adverse effect of model error. Model parameters identification method with variable forgetting factor recursive extended least squares (VFFRELS), which combines a constructed incremental autoregressive and moving average (IARMA) model with differential measurement variables, is presented to obtain the ECM parameters. The independent open circuit voltage (OCV) estimator with error compensation factors is designed to reduce the OCV error of OCV fitting model. Based on the IARMA battery model analysis and the parameters identification, an SOC estimator by adaptive H-infinity filter (AHIF) is formulated. The adaptive strategy of the AHIF improves the numerical stability and robust performance by synchronous adjusting noise covariance and restricted factor. The results of experiment and simulation have verified that the proposed approach has superior advantage of parameters identification and SOC estimation to other estimation methods.
“…In recent years, various climate problems have become increasingly prominent due to the excessive emission of greenhouse gases. From the perspective of sustainable development, China has implemented policies to purchase EVs without purchase tax [1]. Driven by policies, EV market has developed rapidly since 2011 in China, becoming the world's largest EV market ( Table 1).…”
Faced with increasingly serious environmental problems, promoting EVs (electric vehicles) has become an important means of sustainable development. In 2017, EV sales accounted for more than half of the world's total. Although the speed of development is fast, the ownership remains low. In 2017, the market share of EVs in China was only 2.7%. At present, there are few studies on the promotion of EVs. This study seeks to contribute to the organic combination of consumer behavioral characteristics and EV market cultivation. Based on the analysis of relevant research at home and abroad, the consumer behavior of EVs is investigated and the factor analysis is used to simplify the feature categories, in order to obtain consumers' behavior characteristics of EVs. According to the characteristics of consumer behavior of EVs, suggestions are put forward to cultivate EV market from the aspects of existent technology and potential future technology of EVs.
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